ArticleEpigenetics2022
DNA methylation profiles in pneumonia patients reflect changes in cell types and pneumonia severity.
Article in Epigenetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
11 citing papers in PubMed.
- DNA methylation profiles at hospital admission are associated with subsequent severe COVID-19 outcomes.Clinical epigenetics · 2026Article
- Advances in infection-immunity mechanisms and molecular regulatory networks in severe pneumonia-associated lung injury.Frontiers in immunology · 2026Review
- DNA methylation predicts infection risk in kidney transplant recipients.Life science alliance · 2025Article
- An epigenetic human cytomegalovirus infection score predicts viremia risk in seropositive lung transplant recipients.Epigenetics · 2024Article
- The response to influenza vaccination is associated with DNA methylation-driven regulation of T cell innate antiviral pathways.Clinical epigenetics · 2024Article
- Revealing the Hidden Impacts: Insights into Biological Aging and Long-Term Effects in Pauci- and Asymptomatic COVID-19 Healthcare Workers.International journal of molecular sciences · 2024Article
- The response to influenza vaccination is associated with DNA methylation-driven regulation of T cell innate antiviral pathways.Research square · 2024Article
- Longitudinal analysis of influenza vaccination implicates regulation of RIG-I signaling by DNA methylation.Scientific reports · 2024Article
- Age-associated DNA methylation changes inEpigenetics · 2023Article
- Article
- Persistent blood DNA methylation changes one year after SARS-CoV-2 infection.Clinical epigenetics · 2022Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Immune cell-type composition changes with age, potentially weakening the response to infectious diseases. Profiling epigenetics marks of immune cells can help us understand the relationship with disease severity. We therefore leveraged a targeted DNA methylation method to study the differences in a cohort of pneumonia patients (both COVID-19 positive and negative) and unaffected individuals from peripheral blood.This approach allowed us to predict the pneumonia diagnosis with high accuracy (AUC = 0.92), and the PCR positivity to the SARS-CoV-2 viral genome with moderate, albeit lower, accuracy (AUC = 0.77). We were also able to predict the severity of pneumonia (PORT score) with an R
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.